Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. The release tracker should contain all relevant pull requests related to this release as well as links to related issues PyTorch 1.13: beta versions of functorch and improved support for Appleās new M1 chips are now available Pytorch 1.13 Release Notes torchrun AttributeError caused by file_based_local_timer on Windows #85427.Onnx operator_export_type on the new registry #87735.Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504.Fix cuda/cpu check on NoneType and unit test #88854 and #88970.Fix logical error in get_default_qat_qconfig #88876.Double-backward with full_backward_hook causes RuntimeError #88312.Use the Python frame safely in _pythonCallstack #88993._type_line is not safe (command injection) #88868.
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